51 - 200 employees

Founded 2014

🤖 Artificial Intelligence

Artificial Intelligence • SaaS • B2B

Toloka is a company that specializes in enhancing AI development and fine-tuning of Large Language Models (LLMs). They provide expert data for supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF) across multiple domains and languages. Trusted by leading machine learning and AI teams, Toloka offers a comprehensive platform for data labeling, AI evaluation, and AI safety. Their advanced technology platform supports diverse and scalable data collection with a global workforce, ensuring high-quality and reliable data for AI projects. Toloka is included in Gartner’s 2023 Hype Cycle for Generative AI and is compliant with various international standards, including and HIPAA.

Senior Product Manager

🔥 6 hours ago

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51 - 200 employees

Founded 2014

🤖 Artificial Intelligence

Artificial Intelligence • SaaS • B2B

📋 Description

• Identify significant near and long-term opportunities and define product strategies and roadmaps. • Lead the end-to-end product lifecycle management, from ideation and requirements gathering to development, launch, and optimization. • Define and analyze metrics that inform the success/failure. Monitor and analyze product performance, leveraging data analytics and user feedback to optimise current value proposition and drive continual improvement and innovation. • Drive product development with cross-functional team of engineering, design, analytics, and marketing teams to deliver measurable business impact. • Design and own the end-to-end funnel: from marketing to onboarding, activation, first and recurring payments.

🎯 Requirements

• 7+ years of Product management experience working collaboratively with engineering, design, marketing, operations. • Experience navigating through the full product life-cycle, integrating customer feedback into product requirements, driving prioritization, and pre- and post-launch execution. • Proven track record of building and optimizing acquisition–activation–monetization funnels, ideally in early-stage products. • Strong data literacy: ability to define metrics, read dashboards, and make decisions based on both quantitative and qualitative input. • Proven record of leading a cross-functional group (Marketing, Tech, Operations) around the user and revenue goals, not around functions. • Excellent communication in English; ability to clearly articulate hypotheses, decisions, and trade-offs to both technical and non-technical stakeholders. • Experience building 0-1 products, platform/ecosystem products, or marketplaces. • Hands-on, “roll up sleeves” mindset: comfortable manually refining processes after soft laun